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Record W7132125547

Scanteak: The Making of Successors in a Family Firm (A)

2019· other· W7132125547 on OpenAlexaff
李秀娟, 赵丽缦, 陆韵婷

Bibliographic record

VenueCEIBS Institutional Repository · 2019
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsMaking-ofGovernment (linguistics)Face (sociological concept)Key (lock)Control (management)
DOInot available

Abstract

fetched live from OpenAlex

新加坡诗肯柚木有限公司(Scanteak Corporation)是一家成立于20世纪70年代的家具零售商,截至2010年在全球拥有100多家门店,成为首家在台湾股票交易所(OTC)上柜的家具公司。随着公司的发展,创始人林福勤(Pok Chin Lim)和他的妻子傅雅香(Catherine Foo)在孩子身上投入了很多,尤其是在培养其成为公司接班人方面的努力。2003年,林福勤请他的大女儿林洁敏(Jamie Lim)帮忙发展家族企业。在过去的七年里,林洁敏在品牌推广和市场拓展方面取得了很大的成绩。2010年,林福勤让他的儿子林杰人(Julian Lim)帮助他在新加坡或台湾的业务,他想在那里培训林杰人。然而,一直遵从父母意愿的林杰人拒绝了他们的提议,而是要求父亲将诗肯柚木在日本的业务交由他全权管理。林氏夫妇质疑他们刚毕业的儿子是否能担此重任,不知道该如何回应儿子的大胆要求……

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.080
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.008
Scholarly communication0.0120.008
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0280.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.268
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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